Energy & Utilities Quantitative Analyst

Peco Energy Co.; Philadelphia (Philadelphia County); On-site; USD 75,000 - 103,000; Full time

Benefits offered by this job

Annual salary range: $75,200–$103,400

Annual bonus 10%

401(k) match

Medical, dental and vision insurance

Paid time off

Employee assistance program

Wellbeing programs

Referral bonus

Job summary

PECO Energy Company seeks a Quantitative Analyst for the Utility of the Future to design and develop proprietary simulation models for portfolio valuation, pricing, risk management, and strategic planning. You will collaborate with economists, financial engineers, risk analysts, and policy experts, applying quantitative techniques and programming skills to measure model risk and build robust systems.

Ideal candidates have a quantitative degree, 2–4 years of experience, and knowledge of energy

Qualifications

• Bachelor's degree in quantitative field required.
• 2–4 years of relevant experience.
• Strong foundation in applied and financial mathematics concepts.
• Proficiency with development languages (e.g., C/C++, Python, Perl, Matlab) and database query languages.
• Ability to quickly grasp energy commodity markets and portfolio valuation.

Responsibilities

• Leverage analytics to develop valuation, risk management, and pricing models.
• Conduct research and build proof-of-concept demonstration systems.
• Translate concepts into robust system design and architecture.
• Collaborate with analytics teams across ComEd and Enterprise to gather feedback.

Skills

C/C++

Python

Perl

Matlab

SQL

Education

Bachelor's degree in quantitative field

Tools

Power BI

SQL

Python

Job description

PECO Energy Company seeks a Quantitative Analyst for the Utility of the Future to design and develop proprietary simulation models for portfolio valuation, pricing, risk management, and strategic planning. You will collaborate with economists, financial engineers, risk analysts, and policy experts, applying quantitative techniques and programming skills to measure model risk and build robust systems.

Ideal candidates have a quantitative degree, 2–4 years of experience, and knowledge of energy